Dr Paul Yoo
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Overview
Overview
Biography
I am an AI and Data Scientist with over one hundred publications in leading journals and conferences and have secured more than US$3 million in project funding as Principal Investigator. My work has been recognised by prestigious awards, including the IEEE Leadership Award, Rozetta Award, and Samsung Award. I currently lead the Data Science and AI Research Group, co-lead the Data Science and AI Institute (BIDA+), and founded and direct the Threat Intelligence Lab, advancing innovative research in AI and predictive analytics, recently recognised with NATO funding for pioneering big data-driven forecasting methods. My ongoing projects involve international collaborations (e.g., LSE, UCL Hospital, KCL and the Cabinet Office) in technology forecasting, notably within GHP and healthcare, to enhance strategic decision-making and sustainable organisational growth. I have successfully supervised multiple PhD students to timely completion, actively mentor emerging researchers, and serve as an Editor for Nature (Scientific Reports) and ACM Computing Surveys.
Qualifications
- PhD in Computer Science, University of Sydney, Australia, 2009
- PgCert in Academic Practice, Cranfield University, United Kingdom, 2019
Web profiles
Administrative responsibilities
- Head, Data Science and AI Group
- Dy Director, Data Science and AI Institute (BIDA+)
- Chair, Threat Intelligence Lab
Visiting posts
- Visiting Professor, University of Sydney, 01-2009
- Visiting Professor, Korea Advanced Institute of Science and Technology, 01-2013
- Visiting Professor, Khalifa University of Science and Technology, 01-2025
Professional memberships
Senior Member, IEEE
Fellow, HEA
Honours and awards
- Samsung Award, Samsung, November 2017
- IEEE Leadership Award, IEEE, November 2013
- Rozetta Award, Rozetta Institute, Australia, July 2006
ORCID
0000-0001-7665-8616 -
Supervision and teaching
Supervision and teaching
Supervision
Current doctoral researchers
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THIAGO SUZUKI
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DILARA YAZAN
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GASSO MWALUSEKE
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LAWRENCE OLUSANYA
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NEIL MACKINNON
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OMAR ALHAWI
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SYED ZAHEDI
Doctoral alumni since 2013-14
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ZAID ALMAHMOUD
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SEONGIL HAN
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ALBERTO MATUOZZO
Teaching
Teaching modules
- Foundations of Data Science II (BUCI070H5)
- Applied Machine Learning (BUCI077H7)
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Publications
Publications
Article
- Almahmoud, Zaid and Yoo, Paul and Damiani, E. and Choo, K.-K.R. and Yeun, C.Y. (2025) Forecasting cyber threats and pertinent mitigation technologies. Technological Forecasting and Social Change 210, ISSN 0040-1625.
- Taha, K. and Yoo, Paul and Yeun, C. and Homouz, D. and Taha, A. (2024) A comprehensive survey of text classification techniques and their research applications: observational and experimental insights. Computer Science Review 54 (100664), ISSN 1574-0137.
- Han, Seongil and Jung, H. and Yoo, Paul and Provetti, Alessandro and Cali, Andrea (2024) NOTE: non-parametric oversampling technique for explainable credit scoring. Scientific Reports 14 (26070), ISSN 2045-2322.
- Taha, K. and Yoo, Paul and Yeun, C. and Taha, A. (2024) Empirical and experimental perspectives on big data in recommendation systems: a comprehensive survey. Big Data Mining and Analytics 7 (3), pp. 964-1014. ISSN 2097-406X.
- Awadallah, A. and Eledlebi, K. and Zemerly, J. and Puthal, P. and Damiani, E. and Taha, K. and Kim, T.-Y. and Yoo, Paul and Choo, K.-K.R. and Yim, M.-S. and Yeun, C.Y. (2024) Artificial Intelligence-based cybersecurity for the Metaverse: research challenges and opportunities. IEEE Communications Surveys & Tutorials ISSN 1553-877X.
- Liu, S.W. and Fischer, M. and Yoo, Paul and Ritschel, T. (2024) Neural bounding. ACM SIGGRAPH 2024 Conference
- Taha, K. and Yoo, Paul and Al-Hammadi, Y. and Muhaidat, S. and Yeun, C.Y. (2023) Learning a deep-feature clustering model for gait-based individual identification. Computers and Security ISSN 0167-4048.
- Almahmoud, Zaid and Yoo, Paul and Alhussein, O. and Farhat, I. and Damiani, E. (2023) A holistic and proactive approach to forecasting cyber threats. Scientific Reports 13 (8049), ISSN 2045-2322.
- Matuozzo, Alberto and Yoo, Paul and Provetti, Alessandro (2023) A right kind of wrong: European equity market forecasting with custom feature engineering and loss functions. Expert Systems with Applications ISSN 0957-4174.
- Uysal, Dilara and Yoo, Paul and Kamal, T. (2022) Data-driven malware detection for 6G networks: a survey from the perspective of continuous learning and explainability via visualisation. IEEE Open Journal of Vehicular Technology ISSN 2644-1330.
- Taha, K. and Yoo, Paul and Eddinari, F.Z. (2022) Detecting implicit cross-communities to which an active user belongs. PLoS One ISSN 1932-6203.
- Taha, K. and Yoo, Paul and Eddinari, F.Z. and Nedunkulathil, S. (2022) Inferring the densest multi-profiled cross-community for a user. Knowledge-Based Systems 237 (107681), ISSN 0950-7051.
- Al Hamadi, A. and Yeun, C.Y. and Damiani, E. and Yoo, Paul D. and Hu, J. and Yeun, H.K. and Yim, M.-S. (2021) Explainable Artificial Intelligence to evaluate industrial internal security using EEG signals in IoT Framework. Ad Hoc Networks 123 (102641), ISSN 1570-8705.
- Al Alkeem, E. and Yeun, C.Y. and Yun, J. and Yoo, Paul D. and Chae, M. and Rahman, A. and Asyhari, A.T. (2021) Robust deep identification using ECG and multimodal biometrics for Industrial Internet of Things. Ad Hoc Networks 121 (102581), ISSN 1570-8705.
- Taha, K. and Davuluri, R. and Yoo, Paul D. and Spencer, J. (2021) Personizing the prediction of future susceptibility to a specific disease. PLoS One ISSN 1932-6203.
- Al Hammadi, A. and Lee, D. and Yeun, C.Y. and Damiani, E. and Kim, S.-k. and Yoo, Paul D. and Choi, H.-j. (2020) Novel EEG sensor-based risk framework for the detection of insider threats in safety critical industrial infrastructure. IEEE Access 8, pp. 206222-206234. ISSN 2169-3536.
- Taha, K. and Yoo, Paul D. (2020) An effective disease risk indicator tool. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ISSN 2694-0604.
- Lee, S.J. and Yoo, Paul D. and Asyhari, T.A. and Jhi, Y. and Chermak, L. and Yeun, C.Y. and Taha, K. (2020) IMPACT: Impersonation attack detection via edge computing using deep autoencoder and feature abstraction. IEEE Access 8, pp. 65520-65529. ISSN 2169-3536.
- Kim, S.-k. and Yeun, C.Y. and Yoo, Paul D. (2019) An enhanced machine learning-based biometric authentication system using RR- Interval Framed Electrocardiograms. IEEE Access 7, pp. 168669 -168674. ISSN 2169-3536.
- Li, M. and Selim, B. and Muhaidat, S. and Sofotasios, P. and Dianati, M. and Yoo, Paul D. and Liang, J. and Wang, A. (2019) Effects of residual hardware impairments on secure NOMA-based cooperative systems. IEEE Access 4, ISSN 2169-3536.
- Al Alkeem, E. and Kim, S.-K. and Yeun, C.Y. and Zemerly, J. and Poon, K. and Yoo, Paul D. (2019) An Enhanced Electrocardiogram biometric authentication system using machine learning. IEEE Access 7, pp. 123069-123075. ISSN 2169-3536.
- Yoo, Paul D. (2019) Popularity-based video caching techniques for cache-enabled networks: a survey. IEEE Access 7, pp. 27699-27719. ISSN 2169-3536.
- Yoo, Paul D. (2019) Censor-based cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels. IEEE Transactions on Sustainable Computing 5 (1), pp. 48-60. ISSN 2377-3782.
- Yoo, Paul D. (2019) Shortlisting the influential members of criminal organizations and identifying their important communication channels. IEEE Transactions on Information Forensics and Security ISSN 1556-6013.
Book Section
- Kim, S.-K. and Yeun, C.Y. and Yoo, Paul and Lo, N.-W. and Damiani, E. (2022) Deep learning-based arrhythmia detection using RR-Interval framed electrocardiograms. In: The 8th International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems. Springer. (In Press)
- Parker, L. and Yoo, Paul D. and Asyhari, T. and Chermak, L. and Jhi, Y. and Taha, K. (2019) DEMISe: interpretable deep extraction and mutual information selection techniques for IoT intrusion detection. In: ARES '19 Proceedings of the 14th International Conference on Availability, Reliability and Security. ACM. ISBN 9781450371643.
- Yoo, Paul and Zhou, B.B. and Zomaya, A.Y. (2007) Machine intelligence in protein sequence analysis and structure prediction. In: Arabnia, H.R. and Yang, M.Q. and Yang, J.Y. (eds.) BIOCOMP 2007: International Conference on Bioinformatics & Computational Biology. CSREA Press. pp. 370-377.
- Yoo, Paul and Kim, M.H. and Jan, T. (2005) Machine learning techniques and use of event information for stock market prediction: a survey and evaluation. In: CIMCA 2005: International Conference on Computational Intelligence for Modelling Control and Automation. IEEE Computer Society. pp. 835-841. ISBN 9780769525040.
Conference Item
- Uysal, Dilara and Naser, S. and Almahmoud, Zaid and Muhaidat, S. and Yoo, Paul (2024) A visual analytics framework for explainable malware detection in Edge computing networks. GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2024, Kuala Lumpur, Malaysia
- Matuozzo, Alberto and Yoo, Paul and Provetti, Alessandro and Kim, Maria (2022) Machine learning methods for Equity Time Series forecasting: a compendium. 31st ACM International Conference on Information and Knowledge Management, 2022, Atlanta, U.S.
Editorial
- Yoo, Paul and Tari, Z. (2023) Editorial: Sustainable defence and security systems. IEEE Transactions on Sustainable Computing 8 (4), pp. 537-539. IEEE Computer Society. ISSN 2377-3782.
- Yoo, Paul and Tari, Z. (2021) Sustainable information security and forensic computing. IEEE Transactions on Sustainable Computing 6 (1), pp. 2-3. IEEE Computer Society. ISSN 2377-3782.